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Apply Tisane Sentiment Analysis to Socialgist Disqus
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Tisane Sentiment Analysis
Sentiment analysis answers the question whether the author is positive or negative about something. Tisane sentiment analysis supports 35+ languages, including slang and obfuscated text.
About Socialgist Disqus
A live firehose feed of Disqus news comments provided by Socialgist.
Quickly apply Tisane Sentiment Analysis to Socialgist Disqus with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Disqus
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Tisane Sentiment Analysis with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Tisane Sentiment Analysis and Socialgist Disqus
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.